46 citations · 109 across the 13 of their papers we have counts for
Showing 2020Show all
2 papers · 1 filter
cs.CR2020★ 46 cited
Defensive Approximation: Securing CNNs using Approximate Computing
Amira Guesmi, Ihsen Alouani, Khaled Khasawneh +4
In the past few years, an increasing number of machine-learning and deep learning structures, such as Convolutional Neural Networks (CNNs), have been applied to solving a wide rang…
cs.LG2020
Code-Bridged Classifier (CBC): A Low or Negative Overhead Defense for Making a CNN Classifier Robust Against Adversarial Attacks
Farnaz Behnia, Ali Mirzaeian, Mohammad Sabokrou +6
In this paper, we propose Code-Bridged Classifier (CBC), a framework for making a Convolutional Neural Network (CNNs) robust against adversarial attacks without increasing or even…